Prediction of Insolvency of Life Insurers Through Neural Networks

Past research studies have documented the failure of the Insurance Regulatory Information System (IRIS) to provide adequate warning of insurer financial distress or insolvency. As a result, scholars have examined alternative parametric and nonparametric models to predict insurer insolvency. This study uses a neural network, a non-parametric alternative to past techniques, and shows how this methodology more effectively predicts insurer insolvency than parametric models.

• Type: Conference
• Year: 2000
• Where: ECIS
• Authors: Ernest P. Goss, George S. Vozikis
• Keywords: ECIS 2000, ECIS 2004, Insurance Regulatory Information System, Insurer Financial Distress, Insurer Insolvency